发明名称 |
Facilitating Operation of a Machine Learning Environment |
摘要 |
Machine learning systems are represented as directed acyclic graphs, where the nodes represent functional modules in the system and edges represent input/output relations between the functional modules. A machine learning environment can then be created to facilitate the training and operation of these machine learning systems. |
申请公布号 |
US2014310208(A1) |
申请公布日期 |
2014.10.16 |
申请号 |
US201313860467 |
申请日期 |
2013.04.10 |
申请人 |
MACHINE PERCEPTION TECHNOLOGIES INC. |
发明人 |
Fasel Ian;Polizo James;Whitehill Jacob;Susskind Joshua M.;Movellan Javier R. |
分类号 |
G06N99/00 |
主分类号 |
G06N99/00 |
代理机构 |
|
代理人 |
|
主权项 |
1. A computer-implemented method for facilitating operation of a machine learning environment, the environment comprising functional modules that can be configured and linked in different ways to define different machine learning instances, the method comprising:
receiving a directed acyclic graph defining a machine learning instance, the directed acyclic graph containing nodes and edges connecting the nodes, the nodes identifying functional modules, the edges entering a node representing inputs to the functional module and the edges exiting a node representing outputs of the functional module; and executing the machine learning instance defined by the acyclic graph. |
地址 |
San Diego CA US |